A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

Abstract

Summary Generation expansion planning (GEP) is a power plant mix problem that identifies what, where, when, and how new generating facilities should be installed and when old units be retired over a specific planning horizon. GEP ensures that the quantity of electricity generated matches the electricity demand throughout the planning horizon. This kind of planning is of importance because most production and service delivery is dependent on availability of electricity. Over the years, the traditional GEP approaches have evolved to produce more realistic models and new solution algorithms. For example, with the agitation for green environment, the inclusion of renewable energy plants and energy storage in the traditional GEP model is gradually gaining attention. In this regards, a handful of research has been conducted to identify the optimal expansion plans based on various energy‐related perspectives. The appraisal and classification of studies under these topics are necessary to provide insights for further works in GEP studies. This article therefore presents a comprehensive up‐to‐date review of GEP studies. Result from the survey shows that the integration of demand side management, energy storage systems (ESSs), and short‐term operational characteristics of power plants in GEP models can significantly improve flexibility of power system networks and cause a change in energy production and the optimal capacity mix. Furthermore, this article was able to identify that to effectively integrate ESS into the generation expansion plan, a high temporal resolution dimension is essential. It also provides a policy discussion with regard to the implementation of GEP. This survey provides a broad background to explore new research areas in order to improve the presently available GEP models.

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

“…Constraints are applied on the DG allocation problem to exert restrictions over the optimisation of the objective function(s) in respect of some decision variables. The most common constraints used in the optimal REHDG allocation problem formulations are grouped into seven . These are (i)Technical constraints: These are the technical constraints: •The set of power balance equality constraints placed on real and reactive power at each bus of the network (Kirchoff's current law). •The set of inequality constraints such as transformer or line overloading or capacity limits, transmission supply limits, limited buses for DG installation, etc. (ii)System reliability constraints: They ensure continuous and constant transmission and supply of power to the end users.…”

“…The most common constraints used in the optimal REHDG allocation problem formulations are grouped into seven. 4,[7][8][9][10]13,[35][36][37]42 These are (i) Technical constraints: These are the technical constraints:…”

Finding a Portfolio of Near-Optimal Aggregated Solutions to Capacity Expansion Energy System Models

“…In the following, we present the suggested exploration approach in the framework of capacity expansion problems (CEP), but the approach is applicable to any problem considering investment decisions. The CEP categorization covers several problems such as the generation expansion (GEP), demand forecasting, distribution expansion planning, and transmission expansion planning [2]. All problems have the common goal of finding the optimal design of the considered part of the energy system, wherefore also combined models frequently are seen.…”

Modelling energy systems of Vietnam with integration of renewable power sources

“…The capacity planning problem in the power systems has been divided into demand forecasting, distribution expansion planning, transmission expansion planning, and generation expansion planning (GEP). For each capacity planning problem, the time horizon can be divided into long-term, mediumterm, or short-term studies [11]. Short-term planning is associated with day-to-day system operation.…”