Now showing 1 - 10 of 79
  • Publication
    Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch
    Dynamic economic dispatch (DED) aims to schedule the committed generating units' output active power economically over a certain period of time, satisfying operating constraints and load demand in each interval. Valve-point effect, the ramp rate limits, prohibited operation zones (POZs), and transmission losses make the DED a complicated, non-linear constrained problem. Hence, in this paper, imperialist competitive algorithm (ICA) is proposed to solve such complicated problem. The feasibility of the proposed method is validated on five and ten units test system for a 24 h time interval. The results obtained by the ICA are compared with other techniques of the literature. These results substantiate the applicability of the proposed method for solving the constrained DED with non-smooth cost functions. Besides, to examine the applicability of the proposed ICA on large power systems, a test case with 54 units is studied. The results confirm the suitability of the ICA for large-scale DED problem.
      734Scopus© Citations 124
  • Publication
    Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power
    (Institute of Electrical and Electronics Engineers, 2014-11) ; ; ;
    This paper proposes a new approach for corrective voltage control (CVC) of power systems in presence of uncertain wind power generation and demand values. The CVC framework deals with the condition that a power system encounters voltage instability as a result of severe contingencies. The uncertainty of wind power generation and demand values is handled using a scenario-based modeling approach. One of the features of the proposed methodology is to consider participation of demand-side resources as an effective control facility that reduces control costs. Active and reactive redispatch of generating units and involuntary load curtailment are employed along with the voluntary demand-side participation (demand response) as control facilities in the proposed CVC approach. The CVC is formulated as a multi-objective optimization problem. The objectives are ensuring a desired loading margin while minimizing the corresponding control cost. This problem is solved using $epsilon$-constraint method, and fuzzy satisfying approach is employed to select the best solution from the Pareto optimal set. The proposed control framework is implemented on the IEEE 118-bus system to demonstrate its applicability and effectiveness.
      1003Scopus© Citations 143
  • Publication
    Probabilistic Security Constrained Fuzzy Power Flow Models
    In restructured power systems, generation and commercialization activities became market activities, while transmission and distribution activities continue as regulated monopolies. As a result, the adequacy of transmission network should be evaluated independent of generation system. After introducing the constrained fuzzy power flow (CFPF) as a suitable tool to quantify the adequacy of transmission network to satisfy 'reasonable demands for the transmission of electricity' (as stated, for instance, at European Directive 2009/72/EC), the aim is now showing how this approach can be used in conjunction with probabilistic criteria in security analysis. In classical security analysis models of power systems are considered the composite system (generation plus transmission). The state of system components is usually modeled with probabilities and loads (and generation) are modeled by crisp numbers, probability distributions or fuzzy numbers. In the case of CFPF the component’s failure of the transmission network have been investigated. In this framework, probabilistic methods are used for failures modeling of the transmission system components and possibility models are used to deal with 'reasonable demands'. The enhanced version of the CFPF model is applied to an illustrative case.
      396Scopus© Citations 1
  • Publication
    DC constrained fuzzy power flow for transmission expansion planning studies
    In restructured power systems, the adequacy of the transmission network may be defined as the ability to meet reasonable demands by transmission of electricity (as stated by the Directive 2009/72/EC). The symmetric/constrained fuzzy power flow (CFPF) was recently proposed as a suitable tool to quantify that adequacy. In this paper, the use of the symmetric fuzzy power flow/CFPF is extended to support the decision process of investment in network components to accomplish a specific adequacy criteria. A technique based on dual variables, obtained from the linear formulation of the CFPF, is used. The importance of the duality information concerning the adequacy indices is explained. The proposed methodology is applied on IEEE 14 bus reliability test system to demonstrate its applicability.
      504Scopus© Citations 3
  • Publication
    Information Gap Decision Theory Based Congestion and Voltage Management in the Presence of Uncertain Wind Power
    The supply of electrical energy is being increasinglysourced from renewable generation. The variability anduncertainty of renewable generation, compared to a dispatchableplant, is a significant dissimilarity of concern to the traditionallyreliable and robust power system. This change is driving thepower system towards a more flexible entity that carries greateramounts of reserve. For congestion management purposes itis of benefit to know the probable and possible renewablegeneration dispatch, but to what extent will these variations effectthe management of congestion on the system? Reactive powergeneration from wind generators and demand response flexibilityare the decision variables here in a risk averse multi-periodAC optimal power flow (OPF) seeking to manage congestionon distribution systems. Information Gap Decision Theory isused to address the variability and uncertainty of renewablegeneration. In addition, this work considers the natural benefitsto the congestion on a system from the over estimation of windforecast; providing an opportunistic schedule for both demandresponse nodes and reactive power provision from distributedgeneration.
      793Scopus© Citations 72
  • Publication
    An auction framework to integrate dynamic transmission expansion planning and pay-as-bid wind connection auctions
    Competitive renewable energy procurement auctions are becoming increasingly prevalent. In a pay-as-bid auction, investors bid the price support required and receive that price if successful. Bidding strategy may be influenced by factors external to the auction, such as transmission expansion planning decisions. This may increase costs. In this paper, we show that integrating a pay-as-bid auction with transmission expansion planning may allow for closer total system cost minimisation over many time periods. This paper develops an auction mechanism and associated modelling framework to carry this out. The contributions of this framework are verified using a numerical example. Our results show that ignoring generation costs in transmission expansion planning can have economic consequences, while traditional pay-as-bid auctions can benefit from incorporating features associated with transmission expansion planning, such as multi-period optimisation. Full integration of both modelling frameworks can lead to efficiency improvements, both in terms of reduced investor rent-seeking and a more efficient deployment path.
      530Scopus© Citations 12
  • Publication
    DEDESS : Cost based Dynamic Economic Dispatch integrated with Energy Storage
    For more details please refer to Chapter 7 (Gcode7.1), of the following book: Soroudi, Alireza. Power System Optimization Modeling in GAMS. Springer, 2017. This chapter provides a solution for operation and planning aspects of energy storage systems (ESS) problem in GAMS. The ESS integration has been analyzed in operation and planning horizon. The inputs are generator’s characteristics, electricity prices, demands, and network topology. The outputs of this code are operating schedules of ESS as well as the investment decisions.
  • Publication
    Resilient Identification of Distribution Network Topology
    IEEE Network topology identification (TI) is an essential function for distributed energy resources management systems (DERMS) to organize and operate widespread distributed energy resources (DERs). In this paper, discriminant analysis (DA) is deployed to develop a network TI function that relies only on the measurements available to DERMS. The propounded method is able to identify the network switching configuration, as well as the status of protective devices. Following, to improve the TI resiliency against the interruption of communication channels, a quadratic programming optimization approach is proposed to recover the missing signals. By deploying the propounded data recovery approach and Bayes' theorem together, a benchmark is developed afterward to identify anomalous measurements. This benchmark can make the TI function resilient against cyber-attacks. Having a low computational burden, this approach is fast-track and can be applied in real-time applications. Sensitivity analysis is performed to assess the contribution of different measurements and the impact of the system load type and loading level on the performance of the proposed approach.
      279Scopus© Citations 14
  • Publication
    MultiperiodACOPF24bus : Multi-period AC-OPF for IEEE 24-bus network considering wind and load shedding
    For more details please refer to Chapter 6 (Gcode6.7), of the following book: Soroudi, Alireza. Power System Optimization Modeling in GAMS. Springer, 2017. This chapter provides a solution for optimal power flow OPF problem in GAMS. Different OPF models are investigated, such as single and multi-period DC-AC optimal power flow.
  • Publication
    Nonconvex Dynamic Economic Power Dispatch Problems Solution Using Hybrid Immune-Genetic Algorithm
    (Institute of Electrical and Electronic Engineers (IEEE), 2013-05) ; ;
    The objective of dynamic economic dispatch (DED) problem is to determine the generation schedule of the committed generation units, which minimizes the total operating cost over a dispatch period, while satisfying a set of constraints. The effect of valve points and prohibited operating zones (POZs) in the generating units' cost functions makes the DED a highly nonlinear and nonconvex optimization problem with multiple local minima. Considering the ramp-rate limits and transmission losses makes the DED problem even more complicated. Hence, proposing an effective solution method for this optimization problem is of great interest. This paper presents a novel heuristic algorithm to solve DED problem of generating units by employing a hybrid immune-genetic algorithm. To illustrate the effectiveness of the proposed approach, four test systems that consist of different numbers of generating units are studied. The valve-point effects, POZs, and ramp-rate constraints along with transmission losses are also considered in simulation cases. The results obtained through the proposed method are compared with those reported in the literature. These results substantiate the applicability of the proposed method for solving the constrained DED problem with nonsmooth cost functions.
      1082Scopus© Citations 79